A knowledge embedded multimodal pseudo-siamese model for atrial fibrillation detection

A knowledge embedded multimodal pseudo-siamese model for atrial fibrillation detection

Abstract Atrial fibrillation (AF) is a common arrhythmia disease with a higher incidence rate. The diagnosis of AF is time-consuming. Although many ECG classification models have been proposed to assist in AF detection, they are prone to misclassifying indistinguishable noise signals, and the contex...

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Bibliographic Details
Main Authors: Chenglin Lin, Huimin Lu, Pengcheng Sang, Chenyu Pan
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
ECG
Multimodal fusion
Pseudo-siamese network
Knowledge-data fusion
Online Access:https://doi.org/10.1038/s41598-025-87115-3
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